code: def hook_torch_modules(
      self,
      module,
      criterion=None,
      prefix=None,
      graph_idx=0,
      parent=None,
  ):
      torch = util.get_module("torch", "Could not import torch")
      layers = 0
      graph = self
      if (
          hasattr(module, "_wandb_watch_called")
          and module._wandb_watch_called
      ):
          raise ValueError(
              "You can only call `wandb.watch` once per model.  Pass a new instance of the model if you need to call wandb.watch again in your code."
          )
      module._wandb_watch_called = True
      if criterion:
          graph.criterion = criterion
          graph.criterion_passed = True
  
      for name, sub_module in module.named_children():
          name = name or str(layers)
          if prefix:
              name = prefix + "." + name
          layers += 1
          if not isinstance(sub_module, torch.nn.Module):
              # TODO: Why does this happen?
              break
  
          # Trying to support torch >0.3 making this code complicated
          # We want a list of types that we should recurse into
          # Torch 0.3   uses containers
          #       0.4   has ModuleList
          #       0.4.1 has ModuleDict
          module_types = [
              getattr(torch.nn, module_classname)
              for module_classname in (
                  "Container",
                  "Sequential",
                  "ModuleList",
                  "ModuleDict",
              )
              if hasattr(torch.nn, module_classname)
          ]
          if parent is None:
              parent = module
  
          if isinstance(sub_module, tuple(module_types)):
              self.hook_torch_modules(
                  sub_module, prefix=name, parent=parent
              )
          else:
              self._graph_hooks |= {id(sub_module)}
              try:
                  graph_hook = sub_module.register_forward_hook(
                      self.create_forward_hook(name, graph_idx)
                  )
                  wandb.run._torch._hook_handles[
                      "topology/" + str(id(graph_hook))
                  ] = graph_hook
                  if not hasattr(parent, "_wandb_hook_names"):
                      # should never happen but let's be extra safe
                      parent._wandb_hook_names = []
                  parent._wandb_hook_names.append(
                      "topology/" + str(id(graph_hook))
                  )
              except RuntimeError as e:
                  wandb.termwarn(
                      f"Trying to register forward_hook failed ({e}) - skipping graph tracking.",
                      repeat=False,
                  )
  
imports: import itertools
  from functools import reduce
  from operator import mul
  from typing import List
  import wandb
  from wandb import util
  from wandb.data_types import Node
label_desc: Use image node_id 4 for calling the TorchGraph obj's underlying member method code with example usage: obj.hook_torch_modules(module, criterion, prefix, graph_idx, parent) without return types